N. Kleeorin
- Astronomy and Astrophysics top 1%
- Solar and Space Plasma Dynamics 78
- Astro and Planetary Science 25
- Ionosphere and magnetosphere dynamics 23
- Computational Mechanics top 1%
- Fluid Dynamics and Turbulent Flows 47
- Combustion and flame dynamics 11
- Earth-Surface Processes top 2%
- Aeolian processes and effects 18
- Ocean Engineering top 0.5%
- Particle Dynamics in Fluid Flows 46
- Environmental Engineering top 5%
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- Geomagnetism and Paleomagnetism Studies 59
In The Last Decade
N. Kleeorin
136 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 79
- Astronomy and Astrophysics 1.6k
- Computational Mechanics 1.0k
- Earth-Surface Processes 336
- Ocean Engineering 760
- Environmental Engineering 273
Countries citing papers authored by N. Kleeorin
This map shows the geographic impact of N. Kleeorin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by N. Kleeorin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Kleeorin more than expected).
Fields of papers citing papers by N. Kleeorin
This network shows the impact of papers produced by N. Kleeorin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by N. Kleeorin. The network helps show where N. Kleeorin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside N. Kleeorin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2023 | 5 | |
| 3 | 2021 | 1 | |
| 4 | 2021 | 1 | |
| 5 | 2019 | 1 | |
| 6 | 2019 | 2 | |
| 7 | Magnetic Prandtl number dependence of turbulence generated by chiral MHD dynamos | 2018 | 1 |
| 8 | 2016 | 17 | |
| 9 | Effect of particle clustering on radiative transfer in turbulent flows | 2016 | 1 |
| 10 | 2013 | 15 | |
| 11 | 2012 | 16 | |
| 12 | Effect of stratified turbulence on magnetic flux concentrations | 2010 | 1 |
| 13 | Large-scale magnetic flux concentrations from turbulent stresses | 2009 | 32 |
| 14 | Energy- and flux-budget (EFB) turbulence closure model for stably stratified flows | 2006 | 24 |
| 15 | 2003 | 51 | |
| 16 | 2003 | 29 | |
| 17 | Clustering of fuel droplets and quality of spray in diesel engines | 2003 | 1 |
| 18 | Formation of large-scale semi-organised structures in turbulent convection. | 2002 | 8 |
| 19 | Magnitude of the dynamo-generated magnetic field in solar-type convective zones. | 1995 | 12 |
| 20 | A new kind of magnetic buoyancy instability. | 1990 | 2 |
About N. Kleeorin
N. Kleeorin is a scholar working on Astronomy and Astrophysics, Ocean Engineering and Earth-Surface Processes, having authored 139 papers that have together received 3.0k indexed citations. Recurring topics across this work include Solar and Space Plasma Dynamics (78 papers), Geomagnetism and Paleomagnetism Studies (59 papers), Fluid Dynamics and Turbulent Flows (47 papers), Particle Dynamics in Fluid Flows (46 papers), Astro and Planetary Science (25 papers), Ionosphere and magnetosphere dynamics (23 papers), Aeolian processes and effects (18 papers) and Combustion and flame dynamics (11 papers). The work is most often cited by research in Astronomy and Astrophysics (1.6k citations), Computational Mechanics (1.0k citations) and Earth-Surface Processes (336 citations). N. Kleeorin has collaborated with scholars based in Israel, Sweden and Russia. Frequent co-authors include I. Rogachevskii, T. Elperin, Sergej Zilitinkevich, D. D. Sokoloff, Axel Brandenburg, A. Ruzmaikin, D. Moss, K.‐H. Rädler, Dhrubaditya Mitra and M. A. Liberman.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.